噪声背景下基于累加排列熵加权的雷达目标检测方法OA

When the number of pulses is small,the performance of the traditional FFT-based radar target detection method in noise background will decline significantly due to spectral leakage.In view of this,the paper proposes a radar target detection method based on weighted cumulative permutation entropy by combining coherent processing with permutation entropy features.Firstly,the spectral leakage and its causes,as well as the method of adding windows to reduce leakage are analyzed.Then,the principle and method of the weighted cumulative permutation entropy and the construction of the detection statistic are elaborated.Finally,the variations of the detection threshold of the proposed method under different noise power levels and its detection performance under different numbers of pulses are simulated,respectively.The simulation analysis shows that the proposed method can maintain the constant false-alarm rate(CFAR)characteristic.Moreover,its detection performance is superior to that of the traditional FFT-based radar target detection method,especially when the number of pulses is small.The proposed method can also be applied in scenarios where clutter and targets are separable in the Doppler domain.